4 Works

Data from: Evidence for climate-driven diversification? A caution for interpreting ABC inferences of simultaneous historical events

Jamie R. Oaks, Jeet Sukumaran, Jacob A. Esselstyn, Charles W. Linkem, Cameron David Siler, Mark T. Holder & Rafe M. Brown
Approximate Bayesian computation (ABC) is rapidly gaining popularity in population genetics. One example, msBayes, infers the distribution of divergence times among pairs of taxa, allowing phylogeographers to test hypotheses about historical causes of diversification in co-distributed groups of organisms. Using msBayes, we infer the distribution of divergence times among 22 pairs of populations of vertebrates distributed across the Philippine Archipelago. Our objective was to test whether sea-level oscillations during the Pleistocene caused diversification across the...

Data from: What is a disease? Perspectives of the public, health professionals, and legislators

Kari A. O. Tikkinen, Janne S. Leinonen, Gordon H. Guyatt, Shanil Ebrahim & Teppo L. N. Järvinen
Objective: To assess the perception of diseases and the willingness to use public tax revenue for their treatment among relevant stakeholders. Design: A population-based, cross-sectional mailed survey. Setting: Finland Participants: 3 000 laypeople, 1 500 doctors, 1 500 nurses (randomly identified from the databases of the Finnish Population Register, the Finnish Medical Association and the Finnish Nurses Association), and all 200 parliament members. Main outcome measures: Respondents’ perspectives on a 5-point Likert scale on two...

Data from: Fluc­tu­a­tion domains in adap­tive evo­lu­tion

Carl Boettiger, Jonathan Dushoff & Joshua S. Weitz
We derive an expression for the variation between parallel trajectories in phenotypic evolution, extending the well known result that predicts the mean evolutionary path in adaptive dynamics or quantitative genetics. We show how this expression gives rise to the notion of fluctuation domains–parts of the fitness landscape where the rate of evolution is very predictable (due to fluctuation dissipation) and parts where it is highly variable (due to fluctuation enhancement). These fluctuation domains are determined...

Data from: The pipid root

Adam J. Bewick, Frédéric J. J. Chain, Joseph Heled & Ben J. Evans
The estimation of phylogenetic relationships is an essential component of understanding evolution. Accurate phylogenetic estimation is difficult, however, when internodes are short and old, when genealogical discordance is common due to large ancestral effective population sizes or ancestral population structure, and when homoplasy is prevalent. Inference of divergence times is also hampered by unknown and uneven rates of evolution, the incomplete fossil record, uncertainty in relationships between fossil and extant lineages, and uncertainty in the...

Registration Year

  • 2012

Resource Types

  • Dataset


  • McMaster University
  • University of Kansas
  • University of South Dakota
  • University of Washington
  • University of California System
  • Duke University
  • Georgia Institute of Technology
  • University of Auckland
  • University of Helsinki
  • Max Planck Institute for Evolutionary Biology